hwk is a small Python library containing hardware discovery and configuration
tools.
hwk goes the extra mile to be useful without root priveleges. We query for
host hardware information as directly as possible without relying on shellouts
to programs like dmidecode that require root privileges to execute.
Of course, manipulating hardware often requires elevated privileges, and that is fine. However, when querying for device and host hardware information, we will not use any method that requires elevating to root/superuser.
The code itself should be well-documented, of course, but the objects that the
library exposes should themselves be self-describing. See below for the
describe() methods that the Info objects all implement.
Each module in the library is structured in a consistent fashion, and the objects returned by various module functions should have consistent attribute and method names.
You can use the functions in hwk to determine various
hardware-related information about the host computer.
Each module in hwk contains a single info() function that returns an object
containing information about a particular subsystem or component. For example,
to get information about the memory subsystem, you would use the
hwk.memory.info() function. The hwk.block.info() method likewise returns an
object that describes the block devices of the host.
The objects returned by the info() functions all have a describe() method
that prints out helpful descriptions of the attributes of the object. For
example, from the hwk.memory module:
>>> from hwk import memory
>>> i = memory.info()
>>> print i.describe()
Memory subsystem
===============================================================================
`hwk.memory.Info` attributes:
total_physical_bytes (int)
Number of bytes of physical RAM available to the system
total_usable_bytes (int)
Number of bytes usable by the system (physical bytes minus a few bits
reserved for system and the resident kernel size)
supported_page_sizes (set of int)
A set of ints indicating memory page sizes the system can utilize, in bytes
>>> from hwk import memory
>>>
>>> memory.info()
memory (24565.0 MB physical, 24099.0 MB usable)
>>> memory.supported_page_sizes()
set([2048, 1048576])
>>> from hwk import block
>>> i = block.info()
>>> i
block (1 disk block devices, 1905440.0 MB total size)
>>> for d in i.disks:
... print "disk: " + str(d)
... for p in d.partitions:
... print " partition: " + str(p)
...
disk: /dev/sda (1905440 MB) [SCSI] LSI - SN #3600508e000000000f8253aac9a1abd0c
partition: /dev/sda6 (1699533 MB) [ext4] mounted@/
partition: /dev/sda1 (100 MB) [ntfs]
partition: /dev/sda3 (449 MB) [ntfs]
partition: /dev/sda2 (190881 MB) [ntfs]
partition: /dev/sda5 (14473 MB) [swap]
partition: /dev/sda4 (0 MB) [None]
>>> import pprint
>>> from hwk import cpu
>>> i = cpu.info()
>>> i
cpu (1 physical packages, 6 cores, 12 hardware threads)
>>> for c in i.cpus:
... print c
...
CPU 0 (6 cores, 12 threads)[Intel(R) Core(TM) i7 CPU 980 @ 3.33GHz]
>>> pmap = i.cpus[0].processor_map
>>> pprint.pprint(pmap)
{0: set([0, 6]),
1: set([1, 7]),
2: set([2, 8]),
3: set([3, 9]),
4: set([4, 10]),
5: set([5, 11])}
>>> features = i.cpus[0].features
>>> pprint.pprint(features)
set(['acpi',
'aes',
'aperfmperf',
'apic',
'arat',
< ... >
'vme',
'vmx',
'vnmi',
'vpid',
'xtopology',
'xtpr'])
>>> from hwk import net
>>> i = net.info()
>>> i
net (2 NICs)
>>> for nic in i.nics:
... print "%8s %12s %s %s" % (nic.name, nic.mac, nic.vendor_id, nic.vendor)
...
enp0s25 e06995034837 0x8086 Intel Corporation
wls1 1c7ee5299a06 0x168c Qualcomm Atheros
>>>
>>> for nic in i.nics:
... print "%8s %12s %12s" % (nic.name, nic.bus_type, nic.driver)
...
wls1 pci ath9k
enp0s25 pci e1000e
>>>
>>> for nic in i.nics:
... print "NIC: " + str(nic.name)
... print "Enabled features: "
... pprint.pprint(nic.enabled_features)
...
NIC: wls1
Enabled features:
set(['generic-receive-offload', 'netns-local'])
NIC: enp0s25
Enabled features:
set(['generic-receive-offload',
'generic-segmentation-offload',
'highdma',
'receive-hashing',
'rx-checksumming',
'rx-vlan-offload',
'scatter-gather',
'tcp-segmentation-offload',
'tx-checksum-ip-generic',
'tx-checksumming',
'tx-scatter-gather',
'tx-tcp-segmentation',
'tx-tcp6-segmentation',
'tx-vlan-offload'])
>>>
>>> # The net.nic_features() function returns two sets, one of all features the
>>> # NIC supports and the other containing only the features that are
>>> # currently enabled on the NIC.
>>>
>>> pprint.pprint(net.nic_features('enp0s25'))
(set(['busy-poll',
'fcoe-mtu',
'generic-receive-offload',
'generic-segmentation-offload',
'highdma',
'hw-tc-offload',
'l2-fwd-offload',
'large-receive-offload',
'loopback',
'netns-local',
'ntuple-filters',
'receive-hashing',
'rx-all',
'rx-checksumming',
'rx-fcs',
'rx-vlan-filter',
'rx-vlan-offload',
'rx-vlan-stag-filter',
'rx-vlan-stag-hw-parse',
'scatter-gather',
'tcp-segmentation-offload',
'tx-checksum-fcoe-crc',
'tx-checksum-ip-generic',
'tx-checksum-ipv4',
'tx-checksum-ipv6',
'tx-checksum-sctp',
'tx-checksumming',
'tx-fcoe-segmentation',
'tx-gre-csum-segmentation',
'tx-gre-segmentation',
'tx-gso-partial',
'tx-gso-robust',
'tx-ipxip4-segmentation',
'tx-ipxip6-segmentation',
'tx-lockless',
'tx-nocache-copy',
'tx-scatter-gather',
'tx-scatter-gather-fraglist',
'tx-sctp-segmentation',
'tx-tcp-ecn-segmentation',
'tx-tcp-mangleid-segmentation',
'tx-tcp-segmentation',
'tx-tcp6-segmentation',
'tx-udp_tnl-csum-segmentation',
'tx-udp_tnl-segmentation',
'tx-vlan-offload',
'tx-vlan-stag-hw-insert',
'udp-fragmentation-offload',
'vlan-challenged']),
set(['generic-receive-offload',
'generic-segmentation-offload',
'highdma',
'receive-hashing',
'rx-checksumming',
'rx-vlan-offload',
'scatter-gather',
'tcp-segmentation-offload',
'tx-checksum-ip-generic',
'tx-checksumming',
'tx-scatter-gather',
'tx-tcp-segmentation',
'tx-tcp6-segmentation',
'tx-vlan-offload']))
>>> from hwk import gpu
>>> i = gpu.info()
>>> i
gpu (1 physical GPUs)
>>> i.gpus[0]
GPU @pci:0000:03:00.0 [NVIDIA Corporation] (GF114 [GeForce GTX 560 Ti])
>>> print "kernel driver: " + i.gpus[0].driver
kernel driver: nouveau
From a single-processor Intel Core i7 6-core with 2 hardware threads per core:
>>> from hwk import topology
>>> i = topology.info()
>>> i
topology SMP (1 nodes)
>>> n = i.nodes[0]
>>> n
Node 0 (6 cores)
>>> n.processor_set
set([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11])
>>> c2 = n.cores[2]
>>> c2
Core 2 (2 hardware threads)
>>> c2.processor_set
set([10, 4])
From a NUMA system with 2 processors having 4 cores each with 2 hardware threads per core::
>>> from hwk import topology
>>> i = topology.info()
>>> i
topology NUMA (2 nodes)
>>> for node in i.nodes:
... print node.processor_set
...
set([0, 1, 2, 3, 8, 9, 10, 11])
set([4, 5, 6, 7, 12, 13, 14, 15])
Here's topology information that shows the memory caches and their association with cores and threads, along with their sizes, on a laptop running an Intel i5 processor with 4 hardware threads:
>>> import pprint
>>> from hwk import topology
>>> i = topology.info()
>>> i
topology SMP (1 nodes)
>>> n = i.nodes[0]
>>> n
Node 0 (2 cores)
>>> for c in n.cores:
... print c
... print c.processor_set
...
Core 0 (2 hardware threads)
set([0, 2])
Core 1 (2 hardware threads)
set([1, 3])
>>> caches = sorted(n.caches, key=lambda c: c.level)
>>> pprint.pprint(caches)
[L1d cache (32 KB),
L1i cache (32 KB),
L1i cache (32 KB),
L1d cache (32 KB),
L2 cache (256 KB),
L2 cache (256 KB),
L3 cache (3072 KB)]
>>> for c in caches:
... print c, c.processor_set
...
L1d cache (32 KB) set([1, 3])
L1i cache (32 KB) set([0, 2])
L1i cache (32 KB) set([1, 3])
L1d cache (32 KB) set([0, 2])
L2 cache (256 KB) set([0, 2])
L2 cache (256 KB) set([1, 3])
L3 cache (3072 KB) set([0, 1, 2, 3])
>>>
>>> c0 = n.cores[0]
>>> for cache in sorted(c0.caches, key=lambda c: c.size_bytes):
... print cache
...
L1i cache (32 KB)
L1d cache (32 KB)
L2 cache (256 KB)
L3 cache (3072 KB)
Contributions to hwk are welcomed! Fork the repo on GitHub and submit a pull
request with your proposed changes. Or, feel free to log an issue for a feature
request or bug report.
You can run unit tests easily using the tox command, like so:
$ tox
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